Publications by Tag
The following tags appear in the publications listed in the review:
AAAI ACCV ACL Active Learning Active Supervision Adversarial Attack Angular Distance Arxiv Attention Autoencoder BMVC Boosting CIKM CIVR CVPR Case Study Circulant Matrix Collaborative Convolutional Neural Network Cross-Modal Dataset Deep Learning Discrete Discriminant Analysis Domain Adaptation ECCV ECIR F-Divergence Fine-Grained First Story Detection Forest GANs Graph Graph Cuts Hard Example Mining Has Code Hierarchical ICCV ICIP ICML ICMR IJCAI Image Retrieval Jensen Shannon Divergence Kernelised LSH LSTM Linear Discriminant Analysis Locality Sensitive Hashing MM Manhattan Distance Matrix Factorisation Matrix Persuit Max-Margin Multi-Bit Multi-Label Multi-Probe Multiple Hash Tables Mutual Information NAACL NIPS Neighbourhood Preservation Online Quantisation Ranking Recurrent Neural Network Regularisation SDM SIGIR SIGMOD SVM Self-Supervised Skewed Data Spectral Spherical Hashing Streaming Data Structured Max-Margin Supervised Survey Paper TIP TPAMI Text Retrieval Thresholding Time Series Twitter Two-Stage Unimodal Unsupervised VLDB Variable-Bit Variational Video Video Retrieval WWW Weakly Supervised kNN
Tags
See below a list of all tags and the related papers
AAAI
ACCV
ACL
Active Learning
Active Supervision
Adversarial Attack
Angular Distance
Arxiv
- Deep Saliency Hashing for Fine-grained Retrieval Sheng Jin, Hongxun Yao, Xiaoshuai Sun, Shangchen Zhou, Lei Zhang, Xiansheng Hua
- Targeted Attack for Deep Hashing based Retrieval Jiawang Bai, Bin Chen, Yiming Li, Dongxian Wu, Weiwei Guo, Shu-tao Xia, En-hui Yang
Attention
Autoencoder
- Hashing with Binary Autoencoders M. Carreira-Perpinan, R. Raziperchikolaei
- Correlation Autoencoder Hashing for Supervised Cross-Modal Search Yue Cao, Mingsheng Long, Jianmin Wang, Han Zhu
- Self-Supervised Video Hashing with Hierarchical Binary Auto-encoder Jingkuan Song, Hanwang Zhang, Xiangpeng Li, Lianli Gao, Meng Wang, Richang Hong
- Auto-Encoding Twin-Bottleneck Hashing Yuming Shen, Jie Qin, Jiaxin Chen, Mengyang Yu, Li Liu, Fan Zhu, Fumin Shen, Ling Shao
BMVC
Boosting
CIKM
CIVR
CVPR
- Iterative Quantization: A Procrustean Approach to Learning Binary Codes Y. Gong, S. Lazebnik
- Deep Semantic Ranking Based Hashing for Multi-Label Image Retrieval F. Zhao, Y. Huang, L. Wang, and T. Tan
- Simultaneous Feature Learning and Hash Coding with Deep Neural Networks H. Lai, Y. Pan, Y. Liu, S. Yan
- Hashing with Binary Autoencoders M. Carreira-Perpinan, R. Raziperchikolaei
- Efficient Training of Very Deep Neural Networks for Supervised Hashing Ziming Zhang, Yuting Chen, Venkatesh Saligrama
- Deep Cross-Modal Hashing Qing-Yuan Jiang, Wu-Jun Li
- HashNet: Deep Learning to Hash by Continuation Zhangjie Cao, Mingsheng Long, Jianmin Wang, Philip S. Yu
- Creating Something from Nothing: Unsupervised Knowledge Distillation for Cross-Modal Hashing Hengtong Hu, Lingxi Xie, Richang Hong, Qi Tian
- Central Similarity Hashing for Efficient Image and Video Retrieval Li Yuan, Tao Wang, Xiaopeng Zhang, Zequn Jie, Francis EH Tay, Jiashi Feng
- Auto-Encoding Twin-Bottleneck Hashing Yuming Shen, Jie Qin, Jiaxin Chen, Mengyang Yu, Li Liu, Fan Zhu, Fumin Shen, Ling Shao
Case Study
Circulant Matrix
Collaborative
Convolutional Neural Network
- Simultaneous Feature Learning and Hash Coding with Deep Neural Networks H. Lai, Y. Pan, Y. Liu, S. Yan
- Deep Visual-Semantic Hashing for Cross-Modal Retrieval Yue Cao, Mingsheng Long, Jianmin Wang, Qiang Yang, Philip S. Yu
- Deep Domain Adaptation Hashing with Adversarial Learning Fuchen Long, Ting Yao, Qi Dai, Xinmei Tian, Jiebo Luo, Tao Mei
- Greedy Hash: Towards Fast Optimization for Accurate Hash Coding in CNN Shupeng Su, Chao Zhang, Kai Han, Yonghong Tian
- Push for Quantization: Deep Fisher Hashing Yunqiang Li, Wenjie Pei, Yufei zha, Jan van Gemert
Cross-Modal
- Inter-Media Hashing for Large-Scale Retrieval from Heterogeneous Data Sources J. Song, Y. Yang, Y. Yang, Z. Huang, H. Shen
- Linear cross-modal hashing for efficient multimedia search Xiaofeng Zhu, Zi Huang, Heng Tao Shen, Xin Zhao
- Large-scale supervised multimodal hashing with semantic correlation maximization D. Zhang, W. Li
- Regularised Cross-Modal Hashing S. Moran, V. Lavrenko
- Multi-View Complementary Hash Tables for Nearest Neighbor Search Xianglong Liu, Lei Huang, Cheng Deng, Jiwen Lu and Bo Land
- Cross-Modal Similarity Learning via Pairs, Preferences, and Active Supervision Yi Zhen, Piyush Rai, Hongyuan Zha, and Lawrence Carin
- Correlation Autoencoder Hashing for Supervised Cross-Modal Search Yue Cao, Mingsheng Long, Jianmin Wang, Han Zhu
- Deep Visual-Semantic Hashing for Cross-Modal Retrieval Yue Cao, Mingsheng Long, Jianmin Wang, Qiang Yang, Philip S. Yu
- Deep Cross-Modal Hashing Qing-Yuan Jiang, Wu-Jun Li
- SCRATCH: A Scalable Discrete Matrix Factorization Hashing for Cross-Modal Retrieval Chuan-Xiang Li , Zhen-Duo Chen, Peng-Fei Zhang, Xin Luo, Liqiang Nie, Wei Zhang, Xin-Shun Xu
- Supervised Hierarchical Cross-Modal Hashing Changchang Sun, Xuemeng Song, Fuli Feng, Wayne Xin Zhao, Hao Zhang and Liqiang Nie
- Separated Variational Hashing Networks for Cross-Modal Retrieval Peng Hu, Xu Wang, Liangli Zhen, Dezhong Peng
- Deep Joint-Semantics Reconstructing Hashing for Large-Scale Unsupervised Cross-Modal Retrieval Shupeng Su, Zhisheng Zhong, Chao Zhang
- Semi-supervised Deep Quantization for Cross-modal Search Xin Wang, Wenwu Zhu, Chenghao Liu
- Online Multi-modal Hashing with Dynamic Query-adaption Xu Lu, Lei Zhu, Zhiyong Cheng, Liqiang Nie and Huaxiang Zhang
- A Two-step Cross-modal Hashing by Exploiting Label Correlations and Preserving Similarity in Both Steps Zhen-Duo Chen, Yongxin Wang, Hui-Qiong Li, Xin Luo, Liqiang Nie, Xin-Shun
- Creating Something from Nothing: Unsupervised Knowledge Distillation for Cross-Modal Hashing Hengtong Hu, Lingxi Xie, Richang Hong, Qi Tian
Dataset
- The MNIST Database of Handwritten Digits Y. LeCun, C. Cortes, C. Burges
- LabelMe: a database and web-based tool for image annotation B. Russell, A. Torralba, K. Murphy, W. T. Freeman
- The MIR Flickr Retrieval Evaluation. M. J. Huiskes, M. S. Lew
- Learning Multiple Layers of Features from Tiny Images A. Krizhevsky
- ImageNet: A large-scale hierarchical image database J. Deng, W. Dong, R. Socher, L. Li, K. Li, L. Fei-Fei
- NUS-WIDE: a real-world web image database from National University of Singapore T. Chua, J. Tang, R. Hong, H. Li, Z. Luo, Y. Zheng
- Microsoft COCO: Common Objects in Context Tsung-Yi Lin, Michael Maire, Serge Belongie, Lubomir Bourdev, Ross Girshick, James Hays, Pietro Perona, Deva Ramanan, C. Lawrence Zitnick, Piotr Dollar
Deep Learning
- Deep Semantic Ranking Based Hashing for Multi-Label Image Retrieval F. Zhao, Y. Huang, L. Wang, and T. Tan
- Simultaneous Feature Learning and Hash Coding with Deep Neural Networks H. Lai, Y. Pan, Y. Liu, S. Yan
- Hashing with Binary Autoencoders M. Carreira-Perpinan, R. Raziperchikolaei
- Deep Hashing Network for Efficient Similarity Retrieval Han Zhu, Mingsheng Long, Jianmin Wang, Yue Cao
- Feature Learning based Deep Supervised Hashing with Pairwise Labels Wu-Jun Li, Sheng Wang and Wang-Cheng Kang
- Correlation Autoencoder Hashing for Supervised Cross-Modal Search Yue Cao, Mingsheng Long, Jianmin Wang, Han Zhu
- Deep Visual-Semantic Hashing for Cross-Modal Retrieval Yue Cao, Mingsheng Long, Jianmin Wang, Qiang Yang, Philip S. Yu
- Efficient Training of Very Deep Neural Networks for Supervised Hashing Ziming Zhang, Yuting Chen, Venkatesh Saligrama
- Deep Supervised Discrete Hashing Qi Li, Zhenan Sun, Ran He, Tieniu Tan
- Deep Cross-Modal Hashing Qing-Yuan Jiang, Wu-Jun Li
- Variational Deep Semantic Hashing for Text Documents Suthee Chaidaroon, Yi Fang
- HashNet: Deep Learning to Hash by Continuation Zhangjie Cao, Mingsheng Long, Jianmin Wang, Philip S. Yu
- NASH: Toward End-to-End Neural Architecture for Generative Semantic Hashing Dinghan Shen, Qinliang Su, Paidamoyo Chapfuwa, Wenlin Wang, Guoyin Wang, Lawrence Carin, Ricardo Henao
- Deep Domain Adaptation Hashing with Adversarial Learning Fuchen Long, Ting Yao, Qi Dai, Xinmei Tian, Jiebo Luo, Tao Mei
- Unsupervised Deep Hashing with Similarity-Adaptive and Discrete Optimization Fumin Shen, Yan Xu, Li Liu, Yang Yang, Zi Huang, Heng Tao Shen
- Progressive Generative Hashing for Image Retrieval Yuqing Ma, Yue He, Fan Ding, Sheng Hu, Jun Li, Xianglong Liu
- Unsupervised Neural Generative Semantic Hashing Casper Hansen, Christian Hansen, Jakob Grue Simonsen, Stephen Alstrup, Christina Lioma
- Supervised Hierarchical Cross-Modal Hashing Changchang Sun, Xuemeng Song, Fuli Feng, Wayne Xin Zhao, Hao Zhang and Liqiang Nie
- Deep Hashing by Discriminating Hard Examples Cheng Yan, Guansong Pang, Xiao Bai, Chunhua Shen, Jun Zhou, Edwin Hancock
- Accelerate Learning of Deep Hashing With Gradient Attention Long-Kai Huang, Jianda Chen, Sinno Jialin Pan
- Deep Saliency Hashing for Fine-grained Retrieval Sheng Jin, Hongxun Yao, Xiaoshuai Sun, Shangchen Zhou, Lei Zhang, Xiansheng Hua
- Deep Joint-Semantics Reconstructing Hashing for Large-Scale Unsupervised Cross-Modal Retrieval Shupeng Su, Zhisheng Zhong, Chao Zhang
- Neighborhood Preserving Hashing for Scalable Video Retrieval Shuyan Li, Zhixiang Chen, Jiwen Lu, Xiu Li, Jie Zhou
- Deep Semantic Text Hashing with Weak Supervision Suthee Chaidaroon, Travis Ebesu, Yi Fang
- Semi-supervised Deep Quantization for Cross-modal Search Xin Wang, Wenwu Zhu, Chenghao Liu
- Deep Supervised Hashing With Anchor Graph Yudong Chen, Zhihui Lai, Yujuan Ding, Kaiyi Lin, Wai Keung Wong
- Embarrassingly Simple Binary Representation Learning Yuming Shen, Jie Qin,Jiaxin Chen, Li Liu, and Fan Zhu
- A Two-step Cross-modal Hashing by Exploiting Label Correlations and Preserving Similarity in Both Steps Zhen-Duo Chen, Yongxin Wang, Hui-Qiong Li, Xin Luo, Liqiang Nie, Xin-Shun
- Deep Collaborative Discrete Hashing with Semantic-Invariant Structure Zijian Wang, Zheng Zhang, Yadan Luo and Zi Huang
- Creating Something from Nothing: Unsupervised Knowledge Distillation for Cross-Modal Hashing Hengtong Hu, Lingxi Xie, Richang Hong, Qi Tian
- Targeted Attack for Deep Hashing based Retrieval Jiawang Bai, Bin Chen, Yiming Li, Dongxian Wu, Weiwei Guo, Shu-tao Xia, En-hui Yang
- Central Similarity Hashing for Efficient Image and Video Retrieval Li Yuan, Tao Wang, Xiaopeng Zhang, Zequn Jie, Francis EH Tay, Jiashi Feng
- Auto-Encoding Twin-Bottleneck Hashing Yuming Shen, Jie Qin, Jiaxin Chen, Mengyang Yu, Li Liu, Fan Zhu, Fumin Shen, Ling Shao
Discrete
- Deep Supervised Discrete Hashing Qi Li, Zhenan Sun, Ran He, Tieniu Tan
- SCRATCH: A Scalable Discrete Matrix Factorization Hashing for Cross-Modal Retrieval Chuan-Xiang Li , Zhen-Duo Chen, Peng-Fei Zhang, Xin Luo, Liqiang Nie, Wei Zhang, Xin-Shun Xu
- Online Multi-modal Hashing with Dynamic Query-adaption Xu Lu, Lei Zhu, Zhiyong Cheng, Liqiang Nie and Huaxiang Zhang
- Deep Collaborative Discrete Hashing with Semantic-Invariant Structure Zijian Wang, Zheng Zhang, Yadan Luo and Zi Huang
Discriminant Analysis
Domain Adaptation
ECCV
ECIR
F-Divergence
Fine-Grained
First Story Detection
Forest
GANs
- Deep Domain Adaptation Hashing with Adversarial Learning Fuchen Long, Ting Yao, Qi Dai, Xinmei Tian, Jiebo Luo, Tao Mei
- Progressive Generative Hashing for Image Retrieval Yuqing Ma, Yue He, Fan Ding, Sheng Hu, Jun Li, Xianglong Liu
Graph
Graph Cuts
Hard Example Mining
Has Code
- Multi-Probe LSH: Efficient Indexing for High-Dimensional Similarity Search Q. Lv, W. Josephson, Z. Wang, M. Charikar, K. Li
- Kernelized Locality-Sensitive Hashing for Scalable Image Search B. Kulis, K. Grauman
- Spectral Hashing Y. Weiss, A. Torralba, R. Fergus
- Iterative Quantization: A Procrustean Approach to Learning Binary Codes Y. Gong, S. Lazebnik
- Inter-Media Hashing for Large-Scale Retrieval from Heterogeneous Data Sources J. Song, Y. Yang, Y. Yang, Z. Huang, H. Shen
- Neighbourhood Preserving Quantisation for LSH S. Moran, V. Lavrenko, and M. Osborne
- Complementary Projection Hashing Z. Jin, Y. Hu, Y. Lin, D. Zhang, S. Lin, D. Cai, X. Li
- Adaptive Quantization for Hashing: An Information-Based Approach to Learning Binary Codes C. Xiong, W. Chen, G. Chen, D. Johnson, J. Corso
- Large-scale supervised multimodal hashing with semantic correlation maximization D. Zhang, W. Li
- Circulant Binary Embedding F. Yu, S. Kumar, Y. Gong, S. Chang
- Adaptive Hashing for Fast Similarity Search F. Cakir, S. Sclaroff
- Hashing with Binary Autoencoders M. Carreira-Perpinan, R. Raziperchikolaei
- Scalable Graph Hashing with Feature Transformation Q. Jiang, W. Li
- Graph Regularised Hashing S. Moran, V. Lavrenko
- Deep Hashing Network for Efficient Similarity Retrieval Han Zhu, Mingsheng Long, Jianmin Wang, Yue Cao
- Feature Learning based Deep Supervised Hashing with Pairwise Labels Wu-Jun Li, Sheng Wang and Wang-Cheng Kang
- MIHash: Online Hashing with Mutual Information F. Cakir, K. He, S. Bargal, S. Sclaroff
- Deep Supervised Discrete Hashing Qi Li, Zhenan Sun, Ran He, Tieniu Tan
- Deep Cross-Modal Hashing Qing-Yuan Jiang, Wu-Jun Li
- HashNet: Deep Learning to Hash by Continuation Zhangjie Cao, Mingsheng Long, Jianmin Wang, Philip S. Yu
- Hashing with Binary Matrix Pursuit F. Cakir, K. He, S. Sclaroff
- Unsupervised Deep Hashing with Similarity-Adaptive and Discrete Optimization Fumin Shen, Yan Xu, Li Liu, Yang Yang, Zi Huang, Heng Tao Shen
- Greedy Hash: Towards Fast Optimization for Accurate Hash Coding in CNN Shupeng Su, Chao Zhang, Kai Han, Yonghong Tian
- Unsupervised Neural Generative Semantic Hashing Casper Hansen, Christian Hansen, Jakob Grue Simonsen, Stephen Alstrup, Christina Lioma
- Deep Joint-Semantics Reconstructing Hashing for Large-Scale Unsupervised Cross-Modal Retrieval Shupeng Su, Zhisheng Zhong, Chao Zhang
- Embarrassingly Simple Binary Representation Learning Yuming Shen, Jie Qin,Jiaxin Chen, Li Liu, and Fan Zhu
- Central Similarity Hashing for Efficient Image and Video Retrieval Li Yuan, Tao Wang, Xiaopeng Zhang, Zequn Jie, Francis EH Tay, Jiashi Feng
Hierarchical
ICCV
- Kernelized Locality-Sensitive Hashing for Scalable Image Search B. Kulis, K. Grauman
- Supervised binary hash code learning with jensen shannon divergence Lixin Fan
- Complementary Projection Hashing Z. Jin, Y. Hu, Y. Lin, D. Zhang, S. Lin, D. Cai, X. Li
- Adaptive Hashing for Fast Similarity Search F. Cakir, S. Sclaroff
- kNN Hashing with Factorized Neighborhood Representation Kun Ding, Chunlei Huo, Bin Fan, Chunhong Pan
- An NMF perspective on Binary Hashing Lopamudra Mukherjee, Sathya N. Ravi, Vamsi K. Ithapu, Tyler Holmes and Vikas Singh
- Multi-View Complementary Hash Tables for Nearest Neighbor Search Xianglong Liu, Lei Huang, Cheng Deng, Jiwen Lu and Bo Land
- MIHash: Online Hashing with Mutual Information F. Cakir, K. He, S. Bargal, S. Sclaroff
- Accelerate Learning of Deep Hashing With Gradient Attention Long-Kai Huang, Jianda Chen, Sinno Jialin Pan
- Maximum-Margin Hamming Hashing Rong Kang, Yue Cao, Mingsheng Long (B), Jianmin Wang, and Philip S. Yu
- Deep Joint-Semantics Reconstructing Hashing for Large-Scale Unsupervised Cross-Modal Retrieval Shupeng Su, Zhisheng Zhong, Chao Zhang
- Neighborhood Preserving Hashing for Scalable Video Retrieval Shuyan Li, Zhixiang Chen, Jiwen Lu, Xiu Li, Jie Zhou
- Deep Supervised Hashing With Anchor Graph Yudong Chen, Zhihui Lai, Yujuan Ding, Kaiyi Lin, Wai Keung Wong
- Embarrassingly Simple Binary Representation Learning Yuming Shen, Jie Qin,Jiaxin Chen, Li Liu, and Fan Zhu
ICIP
ICML
ICMR
IJCAI
Image Retrieval
- Kernelized Locality-Sensitive Hashing for Scalable Image Search B. Kulis, K. Grauman
- Spectral Hashing Y. Weiss, A. Torralba, R. Fergus
- Iterative Quantization: A Procrustean Approach to Learning Binary Codes Y. Gong, S. Lazebnik
- Manhattan Hashing for Large-Scale Image Retrieval W. Kong, W. Li, M. Guo
- Inter-Media Hashing for Large-Scale Retrieval from Heterogeneous Data Sources J. Song, Y. Yang, Y. Yang, Z. Huang, H. Shen
- Learning Binary Hash Codes for Large-Scale Image Search Kristen Grauman, Rob Fergus
- Deep Semantic Ranking Based Hashing for Multi-Label Image Retrieval F. Zhao, Y. Huang, L. Wang, and T. Tan
- Graph Regularised Hashing S. Moran, V. Lavrenko
- Regularised Cross-Modal Hashing S. Moran, V. Lavrenko
- Multi-View Complementary Hash Tables for Nearest Neighbor Search Xianglong Liu, Lei Huang, Cheng Deng, Jiwen Lu and Bo Land
- Deep Hashing Network for Efficient Similarity Retrieval Han Zhu, Mingsheng Long, Jianmin Wang, Yue Cao
- Feature Learning based Deep Supervised Hashing with Pairwise Labels Wu-Jun Li, Sheng Wang and Wang-Cheng Kang
- A Survey on Learning to Hash Jingdong Wang, Ting Zhang, Jingkuan Song, Nicu Sebe, and Heng Tao Shen
- Deep Cross-Modal Hashing Qing-Yuan Jiang, Wu-Jun Li
- Hashing with Binary Matrix Pursuit F. Cakir, K. He, S. Sclaroff
- Unsupervised Deep Hashing with Similarity-Adaptive and Discrete Optimization Fumin Shen, Yan Xu, Li Liu, Yang Yang, Zi Huang, Heng Tao Shen
- Progressive Generative Hashing for Image Retrieval Yuqing Ma, Yue He, Fan Ding, Sheng Hu, Jun Li, Xianglong Liu
- Deep Hashing by Discriminating Hard Examples Cheng Yan, Guansong Pang, Xiao Bai, Chunhua Shen, Jun Zhou, Edwin Hancock
- MoBoost: A Self-improvement Framework for Linear-based Hashing Xingbo Liu, Xiushan Nie, Xiaoming Xi, Lei Zhu, Yilong Yin
- Push for Quantization: Deep Fisher Hashing Yunqiang Li, Wenjie Pei, Yufei zha, Jan van Gemert
- A Two-step Cross-modal Hashing by Exploiting Label Correlations and Preserving Similarity in Both Steps Zhen-Duo Chen, Yongxin Wang, Hui-Qiong Li, Xin Luo, Liqiang Nie, Xin-Shun
- Targeted Attack for Deep Hashing based Retrieval Jiawang Bai, Bin Chen, Yiming Li, Dongxian Wu, Weiwei Guo, Shu-tao Xia, En-hui Yang
- Model Optimization Boosting Framework for Linear Model Hash Learning Xingbo Liu, Xiushan Nie, Quan Zhou, Liqiang Nie, Yilong Yin
Jensen Shannon Divergence
Kernelised
LSH
- LSH Forest: Self-Tuning Indexes for Similarity Search M. Bawa, T. Condie, P. Ganesan
- Streaming First Story Detection with application to Twitter S. Petrovic, M. Osborne, V. Lavrenko
- Using paraphrases for improving first story detection in news and Twitter S. Petrovic, M. Osborne, V. Lavrenko
- Neighbourhood Preserving Quantisation for LSH S. Moran, V. Lavrenko, and M. Osborne
- Variable Bit Quantisation for LSH S. Moran, V. Lavrenko, and M. Osborne
- Enhancing First Story Detection using Word Embeddings S. Moran, R. McCreadie, C. Macdonald, I. Ounis
- Locality-Sensitive Hashing for Earthquake Detection: A Case Study of Scaling Data-Driven Science Kexin Rong, Clara E. Yoon, Karianne J. Bergen, Hashem Elezabi,Peter Bailis, Philip Levis, Gregory C. Beroza
- Locality-Sensitive Hashing for f-Divergences: Mutual Information Loss and Beyond L. Chen, H. Esfandiari, G. Fu, V. Mirrokni
LSTM
Linear Discriminant Analysis
Locality Sensitive Hashing
MM
- Linear cross-modal hashing for efficient multimedia search Xiaofeng Zhu, Zi Huang, Heng Tao Shen, Xin Zhao
- SCRATCH: A Scalable Discrete Matrix Factorization Hashing for Cross-Modal Retrieval Chuan-Xiang Li , Zhen-Duo Chen, Peng-Fei Zhang, Xin Luo, Liqiang Nie, Wei Zhang, Xin-Shun Xu
- Deep Hashing by Discriminating Hard Examples Cheng Yan, Guansong Pang, Xiao Bai, Chunhua Shen, Jun Zhou, Edwin Hancock
- Separated Variational Hashing Networks for Cross-Modal Retrieval Peng Hu, Xu Wang, Liangli Zhen, Dezhong Peng
- Semi-supervised Deep Quantization for Cross-modal Search Xin Wang, Wenwu Zhu, Chenghao Liu
- A Two-step Cross-modal Hashing by Exploiting Label Correlations and Preserving Similarity in Both Steps Zhen-Duo Chen, Yongxin Wang, Hui-Qiong Li, Xin Luo, Liqiang Nie, Xin-Shun
Manhattan Distance
Matrix Factorisation
Matrix Persuit
Max-Margin
Multi-Bit
- Manhattan Hashing for Large-Scale Image Retrieval W. Kong, W. Li, M. Guo
- Neighbourhood Preserving Quantisation for LSH S. Moran, V. Lavrenko, and M. Osborne
- Variable Bit Quantisation for LSH S. Moran, V. Lavrenko, and M. Osborne
- Adaptive Quantization for Hashing: An Information-Based Approach to Learning Binary Codes C. Xiong, W. Chen, G. Chen, D. Johnson, J. Corso
- Variable-Length Quantization Strategy for Hashing Yang Shi, Xiushan Nie, Xin Zhou, Xiaoming Xi, Yilong Yin
Multi-Label
Multi-Probe
Multiple Hash Tables
Mutual Information
NAACL
NIPS
- Spectral Hashing Y. Weiss, A. Torralba, R. Fergus
- Hashing Hyperplane Queries to Near Points with Applications to Large-Scale Active Learning P. Jain, S. Vijayanarasimhan, K. Grauman
- Practical and Optimal LSH for Angular Distance A. Andoni, P. Indyk, T. Laarhoven
- Deep Supervised Discrete Hashing Qi Li, Zhenan Sun, Ran He, Tieniu Tan
- Greedy Hash: Towards Fast Optimization for Accurate Hash Coding in CNN Shupeng Su, Chao Zhang, Kai Han, Yonghong Tian
- Locality-Sensitive Hashing for f-Divergences: Mutual Information Loss and Beyond L. Chen, H. Esfandiari, G. Fu, V. Mirrokni
Neighbourhood Preservation
Online
- Streaming First Story Detection with application to Twitter S. Petrovic, M. Osborne, V. Lavrenko
- Using paraphrases for improving first story detection in news and Twitter S. Petrovic, M. Osborne, V. Lavrenko
- Adaptive Hashing for Fast Similarity Search F. Cakir, S. Sclaroff
- Enhancing First Story Detection using Word Embeddings S. Moran, R. McCreadie, C. Macdonald, I. Ounis
- MIHash: Online Hashing with Mutual Information F. Cakir, K. He, S. Bargal, S. Sclaroff
- Online Multi-modal Hashing with Dynamic Query-adaption Xu Lu, Lei Zhu, Zhiyong Cheng, Liqiang Nie and Huaxiang Zhang
Quantisation
- Iterative Quantization: A Procrustean Approach to Learning Binary Codes Y. Gong, S. Lazebnik
- Manhattan Hashing for Large-Scale Image Retrieval W. Kong, W. Li, M. Guo
- Neighbourhood Preserving Quantisation for LSH S. Moran, V. Lavrenko, and M. Osborne
- Variable Bit Quantisation for LSH S. Moran, V. Lavrenko, and M. Osborne
- Adaptive Quantization for Hashing: An Information-Based Approach to Learning Binary Codes C. Xiong, W. Chen, G. Chen, D. Johnson, J. Corso
- Deep Hashing Network for Efficient Similarity Retrieval Han Zhu, Mingsheng Long, Jianmin Wang, Yue Cao
- Semi-supervised Deep Quantization for Cross-modal Search Xin Wang, Wenwu Zhu, Chenghao Liu
- Variable-Length Quantization Strategy for Hashing Yang Shi, Xiushan Nie, Xin Zhou, Xiaoming Xi, Yilong Yin
- Push for Quantization: Deep Fisher Hashing Yunqiang Li, Wenjie Pei, Yufei zha, Jan van Gemert
Ranking
Recurrent Neural Network
Regularisation
SDM
SIGIR
- Manhattan Hashing for Large-Scale Image Retrieval W. Kong, W. Li, M. Guo
- Neighbourhood Preserving Quantisation for LSH S. Moran, V. Lavrenko, and M. Osborne
- Regularised Cross-Modal Hashing S. Moran, V. Lavrenko
- Enhancing First Story Detection using Word Embeddings S. Moran, R. McCreadie, C. Macdonald, I. Ounis
- Variational Deep Semantic Hashing for Text Documents Suthee Chaidaroon, Yi Fang
- Deep Domain Adaptation Hashing with Adversarial Learning Fuchen Long, Ting Yao, Qi Dai, Xinmei Tian, Jiebo Luo, Tao Mei
- Unsupervised Neural Generative Semantic Hashing Casper Hansen, Christian Hansen, Jakob Grue Simonsen, Stephen Alstrup, Christina Lioma
- Supervised Hierarchical Cross-Modal Hashing Changchang Sun, Xuemeng Song, Fuli Feng, Wayne Xin Zhao, Hao Zhang and Liqiang Nie
- Deep Semantic Text Hashing with Weak Supervision Suthee Chaidaroon, Travis Ebesu, Yi Fang
- Online Multi-modal Hashing with Dynamic Query-adaption Xu Lu, Lei Zhu, Zhiyong Cheng, Liqiang Nie and Huaxiang Zhang
- Deep Collaborative Discrete Hashing with Semantic-Invariant Structure Zijian Wang, Zheng Zhang, Yadan Luo and Zi Huang
SIGMOD
SVM
Self-Supervised
Skewed Data
Spectral
Spherical Hashing
Streaming Data
- Streaming First Story Detection with application to Twitter S. Petrovic, M. Osborne, V. Lavrenko
- Using paraphrases for improving first story detection in news and Twitter S. Petrovic, M. Osborne, V. Lavrenko
- Adaptive Hashing for Fast Similarity Search F. Cakir, S. Sclaroff
- Enhancing First Story Detection using Word Embeddings S. Moran, R. McCreadie, C. Macdonald, I. Ounis
- MIHash: Online Hashing with Mutual Information F. Cakir, K. He, S. Bargal, S. Sclaroff
Structured Max-Margin
Supervised
- Graph Cuts for Supervised Binary Coding T. Ge, K. He, J. Sun
- Correlation Autoencoder Hashing for Supervised Cross-Modal Search Yue Cao, Mingsheng Long, Jianmin Wang, Han Zhu
- Deep Supervised Discrete Hashing Qi Li, Zhenan Sun, Ran He, Tieniu Tan
- Semi-supervised Deep Quantization for Cross-modal Search Xin Wang, Wenwu Zhu, Chenghao Liu
- MoBoost: A Self-improvement Framework for Linear-based Hashing Xingbo Liu, Xiushan Nie, Xiaoming Xi, Lei Zhu, Yilong Yin
- Online Multi-modal Hashing with Dynamic Query-adaption Xu Lu, Lei Zhu, Zhiyong Cheng, Liqiang Nie and Huaxiang Zhang
- Deep Supervised Hashing With Anchor Graph Yudong Chen, Zhihui Lai, Yujuan Ding, Kaiyi Lin, Wai Keung Wong
- Embarrassingly Simple Binary Representation Learning Yuming Shen, Jie Qin,Jiaxin Chen, Li Liu, and Fan Zhu
- Deep Collaborative Discrete Hashing with Semantic-Invariant Structure Zijian Wang, Zheng Zhang, Yadan Luo and Zi Huang
Survey Paper
TIP
TPAMI
Text Retrieval
Thresholding
Time Series
Twitter
Two-Stage
Unimodal
Unsupervised
- Multi-Probe LSH: Efficient Indexing for High-Dimensional Similarity Search Q. Lv, W. Josephson, Z. Wang, M. Charikar, K. Li
- Iterative Quantization: A Procrustean Approach to Learning Binary Codes Y. Gong, S. Lazebnik
- Fast Approximate Nearest-Neighbor Field by Cascaded Spherical Hashing I. Torres-Xirau, J. Salvador, E. Pérez-Pellitero
- Hashing with Binary Autoencoders M. Carreira-Perpinan, R. Raziperchikolaei
- Unsupervised Deep Hashing with Similarity-Adaptive and Discrete Optimization Fumin Shen, Yan Xu, Li Liu, Yang Yang, Zi Huang, Heng Tao Shen
- Progressive Generative Hashing for Image Retrieval Yuqing Ma, Yue He, Fan Ding, Sheng Hu, Jun Li, Xianglong Liu
- Unsupervised Neural Generative Semantic Hashing Casper Hansen, Christian Hansen, Jakob Grue Simonsen, Stephen Alstrup, Christina Lioma
- Deep Joint-Semantics Reconstructing Hashing for Large-Scale Unsupervised Cross-Modal Retrieval Shupeng Su, Zhisheng Zhong, Chao Zhang
- Neighborhood Preserving Hashing for Scalable Video Retrieval Shuyan Li, Zhixiang Chen, Jiwen Lu, Xiu Li, Jie Zhou
VLDB
- Multi-Probe LSH: Efficient Indexing for High-Dimensional Similarity Search Q. Lv, W. Josephson, Z. Wang, M. Charikar, K. Li
- Locality-Sensitive Hashing for Earthquake Detection: A Case Study of Scaling Data-Driven Science Kexin Rong, Clara E. Yoon, Karianne J. Bergen, Hashem Elezabi,Peter Bailis, Philip Levis, Gregory C. Beroza
Variable-Bit
- Variable Bit Quantisation for LSH S. Moran, V. Lavrenko, and M. Osborne
- Adaptive Quantization for Hashing: An Information-Based Approach to Learning Binary Codes C. Xiong, W. Chen, G. Chen, D. Johnson, J. Corso
- Variable-Length Quantization Strategy for Hashing Yang Shi, Xiushan Nie, Xin Zhou, Xiaoming Xi, Yilong Yin
Variational
Video
- Self-Supervised Video Hashing with Hierarchical Binary Auto-encoder Jingkuan Song, Hanwang Zhang, Xiangpeng Li, Lianli Gao, Meng Wang, Richang Hong
- Central Similarity Hashing for Efficient Image and Video Retrieval Li Yuan, Tao Wang, Xiaopeng Zhang, Zequn Jie, Francis EH Tay, Jiashi Feng
Video Retrieval
- Neighborhood Preserving Hashing for Scalable Video Retrieval Shuyan Li, Zhixiang Chen, Jiwen Lu, Xiu Li, Jie Zhou
- Targeted Attack for Deep Hashing based Retrieval Jiawang Bai, Bin Chen, Yiming Li, Dongxian Wu, Weiwei Guo, Shu-tao Xia, En-hui Yang
WWW
Weakly Supervised
kNN